[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-05-07 UTC."],[],[],null,["# mediapipe_model_maker.text_classifier.CSVParams\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/google/mediapipe/blob/master/mediapipe/model_maker/python/text/text_classifier/dataset.py#L30-L47) |\n\nParameters used when reading a CSV file. \n\n mediapipe_model_maker.text_classifier.CSVParams(\n text_column: str,\n label_column: str,\n fieldnames: Optional[Sequence[str]] = None,\n delimiter: str = ',',\n quotechar: str = '\\'\"\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|----------------|---------------------------------------------------------------------------------------------------|\n| `text_column` | Column name for the input text. |\n| `label_column` | Column name for the labels. |\n| `fieldnames` | Sequence of keys for the CSV columns. If None, the first row of the CSV file is used as the keys. |\n| `delimiter` | Character that separates fields. |\n| `quotechar` | Character used to quote fields that contain special characters like the `delimiter`. |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `__eq__`\n\n __eq__(\n other\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Class Variables --------------- ||\n|------------|--------|\n| delimiter | `','` |\n| fieldnames | `None` |\n| quotechar | `'\"'` |\n\n\u003cbr /\u003e"]]